Stability of delayed neural networks with time-varying impulses.

Zhang, Wenbing; Tang, Yang; Fang, Jian-An; Wu, Xiaotai · Neural Netw · 2012

basic_science · Level V

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Abstract

This paper addresses the stability problem of a class of delayed neural networks with time-varying impulses. One important feature of the time-varying impulses is that both the stabilizing and destabilizing impulses are considered simultaneously. Based on the comparison principle, the stability of delayed neural networks with time-varying impulses is investigated. Finally, the simulation results demonstrate the effectiveness of the results.

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